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Evolutionary Language Development in Multi-Agent Cooperative Learning Games
Evolutionary Language Development in Multi-Agent Cooperative Learning Games
Lazaridou., et al 2017 proposed a framework for language learning that relies on multi-agent communication. The agents in the framework were setup in a referential game where they communicated about many images. In this paper, we propose an experiment where agents develop a private language for referring to specified sentences given a set of sentences. The challenge is for the agents to learn a method of distinguishing differences between sentences and to develop a shared language to be able to refer to particular sentences by those distinguishing features. We will evaluate the agents' ability to accurately identify and differentiate the sentences. In addition, we will identify patterns in the methods that the agents develop to refer to the different types of sentences.Keywords: Reinforcement learning, multi-agent coordination
Eric Tsai
Report no cover
Report no cover
Report without cover page Created by Zengjie Xia on 30/01/2018. Copyright © 2018 Zengjie Xia. All rights reserved.
Zengjie Xia
Final Technical Report Template for UC Davis EEC 136B WQ 2018
Final Technical Report Template for UC Davis EEC 136B WQ 2018
Template for final project reports for EEC 136AB Electronics Design Project, a senior capstone team-based design course at UC Davis.
Nicholas Hossain and Raj Amirtharajah
The Parallelization and Optimization of the N-Body Problem using OpenMP and Cuda
The Parallelization and Optimization of the N-Body Problem using OpenMP and Cuda
This research paper aims at exploiting efficient ways of implementing the N-Body problem. The N-Body problem, in the field of physics, predicts the movements and planets and their gravitational interactions. In this paper, the efficient execution of heavy computational work through usage of different cores in CPU and GPU is looked into; achieved by integrating the OpenMP parallelization API and the Nvidia CUDA into the code. The paper also aims at performance analysis of various algorithms used to solve the same problem. This research not only aids as an alternative to complex simulations but also for bigger data that requires work distribution and computationally expensive procedures.
Tushaar Gangarapu
Template for Volcanica Journal
Template for Volcanica Journal
Template for the Volcanica journal, downloaded from the Author guidelines page on 12 Dec, 2017.
Volcanica
Tensão de saída (Canal 2) e onda de tensão PWM (Canal 1), dados para tensão entrada de 23V.
Tensão de saída (Canal 2) e onda de tensão PWM (Canal 1), dados para tensão entrada de 23V.
Este artigo tem como objetivo relatar e detalhar a construção de um conversor buck-boost. Cuja a função deste é converter uma tensão cc (corrente contínua) de entrada, em outra tensão cc em sua saída, de valor mais elevado ou inferior dependendo de sua configuração. Destaca-se aqui o uso de um semi condutor MOSFET que funciona como uma chave controladora. Na elabiração deste está destacada o funcionamento, principais características e toda a parte de simulação e comprovação prática deste conversor.
Elison Moreira & Leandro Pereira
Entropy Minimization Based Synchronization Algorithm for Underwater Acoustic Receivers
Entropy Minimization Based Synchronization Algorithm for Underwater Acoustic Receivers
This paper presents a new entropy minimization criterion and corresponding algorithms that are used for both symbol timing and carrier frequency recovery for underwater acoustic receivers. It relies on the entropy estimation of the eye diagram and the constellation diagram of the received signal. During the parameter search, when perfect synchronization is achieved, the entropy will reach a global minimum, indicating the least intersymbol interference or a restored constellation diagram. Unlike other synchronization methods, this unified criterion can be used to build an all-in-one synchronizer with high accuracy. The feasibility of this method is proven using a theoretical analysis and supported by sea trial measurement data.
Xiao Liu
CVPR 2018 Template
CVPR 2018 Template
The Author Kit for CVPR 2018.
IEEE
Base de datos NoSQL Persistencia Políglota
Base de datos NoSQL Persistencia Políglota
En los últimos años se ha visto un auge en el uso de los sistemas de bases de datos NoSQL y junto a ello se ha popularizado la idea de aplicaciones de Persistencia Políglota. Esta consiste en que gracias a la gran variedad y cantidad de datos, y los diversos servicios que pueden dar las aplicaciones hoy en día, es probable que un único tipo de sistema de almacenamiento no sea capaz de cubrir de forma eficiente todas las necesidades de la aplicación. En este articulo se dará una idea general de las Aplicaciones de Persistencia Políglota dando información acerca de su funcionamiento, arquitectura y motivación; y ademas se hablara específicamente de como aplicar la Persistencia Políglota con MongoDB y Neo4j. Palabras Clave: NoSQL, Persistencia Políglota, MongoDB, Neo4j, Neo4j Doc Manager
Abelardo Moreno, David Fernandez, Alberto Suarez

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